COMPSCI X459.5 - Machine Learning and Deep Learning With Spark

17065286

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Machine learning plays an important role in big data analytics. In this introductory course, you learn the basic concepts of different machine-learning algorithms, answering such questions as when to use an algorithm, how to use it and what to pay attention to when using it. You use Apache Spark—an open-source cluster computing framework that is garnering significant attention in the data industry—as the primary platform for implementing these algorithms. The course curriculum minimizes mathematical derivations in favor of hands-on mastery of Spark's data-processing and streaming features. You also get an introduction to deep learning fundamentals and hands-on experience of deep learning with TensorFlow.

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COMPSCI X459.5 - 008 - Machine Learning and Deep Learning With Spark

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Yushu Yao

Yushu Yao, Ph.D., is a computer scientist at the Lawrence Berkeley National Laboratory. He has extensive hands-on experience leading the design and development of both commercial and scientific big data applications. As a computer scientist focusing on Big Data, Yao has helped many data intensive science projects to architect and implement the data analytic workflow, as well as the development and application of machine learning algorithms on large amount of data. Among the science projects, he wrote the data analytic framework for the ATLAS experiment in the Large Hadron Collider (LHC) located in Switzerland. Yao is also an advanced user of Apache Spark. He co-leads an effort to optimize the Spark framework on peta-flop supercomputer systems.